Relaxed complex scheme suggests novel inhibitors for the lyase activity of DNA polymerase beta

Khaled Barakat1, Jack Tuszynski

  • 1Department of Physics, University of Alberta, Edmonton, AB, Canada. kbarakat@ualberta.ca

Insights

DNA polymerase beta (pol β) drives cancer drug resistance. New computational screening identified novel inhibitors targeting pol β, offering potential for improved cancer therapies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cancer Research

Background:

  • DNA polymerase beta (pol β) is crucial in base excision repair and contributes to resistance against various cancer chemotherapies.
  • Overexpression and mutations in pol β reduce anticancer drug efficacy and increase genomic instability, highlighting its role in cancer progression.
  • Existing pol β inhibitors lack potency and specificity, necessitating the discovery of novel therapeutic agents.

Purpose of the Study:

  • To identify novel, potent, and specific inhibitors of DNA polymerase beta (pol β) using advanced computational screening.
  • To explore the potential of pol β as a therapeutic target for overcoming chemotherapeutic resistance in cancer.

Main Methods:

  • Employed relaxed complex scheme virtual screening (RCSVS) to account for full receptor flexibility.
  • Screened large compound libraries (NCI diversity set, DrugBank, fragmental library) against an ensemble of 11 dominant pol β receptor structures.
  • Evaluated binding affinity of identified compounds to the lyase active site of pol β.

Main Results:

  • Identified novel compounds with predicted higher binding affinity to the pol β lyase active site compared to the known inhibitor pamoic acid (PA).
  • The virtual screening approach successfully filtered diverse compound libraries for potential pol β inhibitors.
  • The study identified promising candidates for further development as anticancer therapeutics.

Conclusions:

  • DNA polymerase beta (pol β) is a viable therapeutic target for enhancing cancer treatment efficacy.
  • RCSVS is an effective method for discovering novel inhibitors with potential therapeutic applications.
  • The identified compounds warrant further investigation for their preclinical and clinical utility in cancer therapy.

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